Update README.md

README.md

@@ -34,9 +34,11 @@ This official repository unveils the TransNormerLLM3 model along with its open-s
 * Join to dicussion: [discord](https://discord.gg/JEU3nTcWKC) <<<>>> [wechat group](https://github.com/OpenNLPLab/TransnormerLLM/blob/main/images/contact_me_qr.png)
   
 > --23.12.25-- startup: [WeChat - 预训练启航](https://mp.weixin.qq.com/s/YjUY-uy89WkF75_-rBTuKw)  <<<>>>  [Twitter - Pre-training Commences ](https://twitter.com/opennlplab/status/1739568669502611825) <<<>>> [YouTube Recording](https://t.co/wk7svS4o5r)   <<<>>> [bilibili 回放](https://www.bilibili.com/video/BV11j411J7Dy)  
-> --24.01.02-- first week review: [WeChat - 第一周概览](https://mp.weixin.qq.com/s/zwGnZZI3itNPoxzzXkuU2w) <<<>>>   [Twitter - First Week Review](https://twitter.com/opennlplab/status/1742187694078501038)  
-> --24.01.09-- second week review: [WeChat - 第二周概览](https://mp.weixin.qq.com/s/6D0qi-0aBier05OKuHfPEA) <<<>>>   [Twitter - Second Week Review](https://twitter.com/opennlplab/status/1744720007299523063)  
-> --24.01.15-- third week review: [WeChat - 第三周概览](https://mp.weixin.qq.com/s/EQg8evZ2cNtAk4HruwCXPA) <<<>>>   [Twitter - Third Week Review](https://twitter.com/opennlplab/status/1746920293069910190)  
+> --24.01.02-- first week review: [WeChat - 第一周概览](https://mp.weixin.qq.com/s/zwGnZZI3itNPoxzzXkuU2w) <<<>>>   [Twitter - Week 1 Review](https://twitter.com/opennlplab/status/1742187694078501038)  
+> --24.01.09-- second week review: [WeChat - 第二周概览](https://mp.weixin.qq.com/s/6D0qi-0aBier05OKuHfPEA) <<<>>>   [Twitter - Week 2 Review](https://twitter.com/opennlplab/status/1744720007299523063)  
+> --24.01.15-- third week review: [WeChat - 第三周概览](https://mp.weixin.qq.com/s/EQg8evZ2cNtAk4HruwCXPA) <<<>>>   [Twitter - Week 3 Review](https://twitter.com/opennlplab/status/1746920293069910190)  
+> --24.01.23-- third week review: [WeChat - 第四周概览](https://mp.weixin.qq.com/s/l7LrFGQKkPU38exUtSF4cw) <<<>>>   [Twitter - Week 4  Review](https://twitter.com/opennlplab/status/1749821039360840001)  
+> --24.01.30-- third week review: [WeChat - 第五周概览](https://mp.weixin.qq.com/s/OgtQIb749IbX6y5C01bLFg) <<<>>>   [Twitter - Week 5 Review](https://twitter.com/opennlplab/status/1752366090754425283)  
 
 
 # Released Weights
@@ -47,6 +49,8 @@ This official repository unveils the TransNormerLLM3 model along with its open-s
 | **15B** | 100B  | 🤗[step26000](https://huggingface.co/OpenNLPLab/TransNormerLLM3-15B-Intermediate-Checkpoints/tree/step26000-100Btokens) |      🤖      |     🐯     |
 | **15B** | 150B  | 🤗[step39000](https://huggingface.co/OpenNLPLab/TransNormerLLM3-15B-Intermediate-Checkpoints/tree/step39000-150Btokens) |      🤖      |     🐯     |
 | **15B** | 200B  | 🤗[step52000](https://huggingface.co/OpenNLPLab/TransNormerLLM3-15B-Intermediate-Checkpoints/tree/step52000-200Btokens) |      🤖      |     🐯     |
+| **15B** | 250B  | 🤗[step65000](https://huggingface.co/OpenNLPLab/TransNormerLLM3-15B-Intermediate-Checkpoints/tree/step65000-250Btokens) |      🤖      |     🐯     |
+| **15B** | 300B  | 🤗[step78000](https://huggingface.co/OpenNLPLab/TransNormerLLM3-15B-Intermediate-Checkpoints/tree/step78000-300Btokens) |      🤖      |     🐯     |
 
 
 ```python
@@ -67,6 +71,9 @@ The evaluations of all models are conducted using the official settings and the
 | **TransNormerLLM3-15B** | 15  | 0.20 | 52.05 | 74.48 | 64.72 | 62.75 | 66.16 | 35.15 | 36.80 | 27.25  | 30.80 |
 | **TransNormerLLM3-15B** | 15  | 0.25 | 66.70 | 76.50 | 66.51 | 64.80 | 66.84 | 36.18 | 39.40 | 30.87  | 36.10 |
 | **TransNormerLLM3-15B** | 15  | 0.30 | 67.00 | 76.50 | 67.17 | 64.40 | 66.29 | 36.77 | 38.80 | 33.99  | 37.60 |
+| **TransNormerLLM3-15B** | 15  | 0.35 | 65.78 | 75.46 | 67.88 | 66.54 | 67.34 | 38.57 | 39.60 | 36.02  | 39.20 |
+| **TransNormerLLM3-15B** | 15  | 0.40 | 67.34 | 75.24 | 68.51 | 66.22 | 68.94 | 40.10 | 39.20 | 41.10  | 39.01 |
+
 
 > **P**: parameter size (billion). **T**: tokens (trillion). **BoolQ**: acc. **PIQA**: acc. **HellaSwag**: acc_norm. **WinoGrande**: acc. **ARC-easy**: acc. **ARC-challenge**: acc_norm. **OpenBookQA**: acc_norm. **MMLU**: 5-shot acc. **C-Eval**: 5-shot acc.
 
@@ -89,11 +96,13 @@ Our project is developed based on the following open source projects:
 ## Citation
 If you wish to cite our work, please use the following reference:
 ```
-@article{qin2023scaling,
-  title={Scaling transnormer to 175 billion parameters},
-  author={Qin, Zhen and Li, Dong and Sun, Weigao and Sun, Weixuan and Shen, Xuyang and Han, Xiaodong and Wei, Yunshen and Lv, Baohong and Yuan, Fei and Luo, Xiao and others},
-  journal={arXiv preprint arXiv:2307.14995},
-  year={2023}
+@misc{qin2024transnormerllm,
+      title={TransNormerLLM: A Faster and Better Large Language Model with Improved TransNormer}, 
+      author={Zhen Qin and Dong Li and Weigao Sun and Weixuan Sun and Xuyang Shen and Xiaodong Han and Yunshen Wei and Baohong Lv and Xiao Luo and Yu Qiao and Yiran Zhong},
+      year={2024},
+      eprint={2307.14995},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
 }
 
 @misc{qin2024lightning,